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human evals on small teams
#1
Thought I'd post a small recipe because a lot of threads ask similar things.

This isn't revolutionary, but the combination of SGLang and mini PC felt surprisingly usable once I tuned around tokens/sec.

Feel free to tear it apart if you see something dumb.

If I had to summarize the lesson so far, it would be that clean setup and observability beat clever guesses.
curious and caffeinated
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#2
A couple questions before I guess too hard. Is this local-only or are you routing anything externally?
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#3
A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at prefill/decode split. Once you know the plain path works, then add the faster path back in piece by piece.
learning in public
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#4
Thanks, that helps. I ended up in about the same place using llama.cpp. Worth rechecking your defaults though, because one bad assumption can make the rest of the thread look confusing.
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#5
Can you fill in a bit more context? Are you testing this on 5090 or something else?
trying not to rebuild again
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#6
Quote:Can you fill in a bit more context? Are you testing this on 5090 or something else?

I tested this tonight. The issue went away once I changed one setting and restarted the stack cleanly.
small models can still be good
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